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Cosmology using long gamma-ray bursts: statistical analysis of errors in calibrated data

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Research in Astronomy and Astrophysics 2019年第2期19卷 143-150页

作者： Meghendra Singh Shashikant Gupta amit sharma Satendra sharma Dr.A.P.J.Abdul Kalam Technical University G.D.Goenka University amity University Haryana Yobe State University

We investigate direction dependence and non-Gaussian features in high-z cosmological data using ?_(χ~2) and ?_χ statistics and the Kolmogorov-Smirnov test. These techniques are applied on a set of calibrated long gamma-ray bursts(GRBs) and its combination with recent Type Ia supernovae data(Union2). Our statistical analysis shows a weak but consistent direction dependence in both the data *** analysis also indicates a non-Gaussian nature of errors in both data sets.

关键词： gamma-ray bursts observational cosmology cosmological parameters Gaussian distribution supernovae

Research on target recognition and mobile job control of humanoid robot based on KM34Z256 for industrial applications

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International Journal of Intelligent Computing and Cybernetics 2021年第2期14卷 302-318页

作者： Dunhai Wang amit sharma Xi’an International University XianChinaand Jaypee University of Information Technology SolanIndia

Purpose-Humanoid robot has similar shape and action characteristics as humans,and it can complete some basic tasks instead of humans without changing the human environment,which makes humanoid robot become the best structure and help form for robot to provide services for human ***/methodology/approach-The mobile operation control of humanoid robot is generated by the walking movement of humanoid robot’s feet,and the robot’s hand and arm complete grasping and other operations ***-On the basis of humanoid robot,the integrated system of software and hardware based on the KM34Z256 humanoid robot is described first,and a series of kinematics discussion on its mobile operation is carried ***/value-The research based on this project shows that the target recognition and positioning method is not only accurate and of high energy but also can realize the mobile operation of humanoid robot.

关键词： Humanoid robot Target recognition Mobile operation Industrial automation

Enhanced Clustering Based OSN Privacy Preservation to Ensure k-Anonymity, t-Closeness, l-Diversity, and Balanced Privacy Utility

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Computers, Materials & Continua 2023年第4期75卷 2171-2190页

作者： Rupali Gangarde amit sharma Ambika Pawar Department of CSE Lovely Professional UniversityPhagwara144411India Department of CSE Symbiosis Institute of Technology(SIT)Affiliated to Symbiosis International(Deemed University)Pune412115India School of Computer Applications Lovely Professional UniversityPhagwara144411India Learning&Development Persistent UniversityPersistent SystemsPune411057India

Online Social Networks (OSN) sites allow end-users to share agreat deal of information, which may also contain sensitive information,that may be subject to commercial or non-commercial privacy attacks. Asa result, guaranteeing various levels of privacy is critical while publishingdata by OSNs. The clustering-based solutions proved an effective mechanismto achieve the privacy notions in OSNs. But fixed clustering limits theperformance and scalability. Data utility degrades with increased privacy,so balancing the privacy utility trade-off is an open research issue. Theresearch has proposed a novel privacy preservation model using the enhancedclustering mechanism to overcome this issue. The proposed model includesphases like pre-processing, enhanced clustering, and ensuring privacy *** enhanced clustering algorithm is the second phase where authorsmodified the existing fixed k-means clustering using the threshold *** threshold value is determined based on the supplied OSN data of edges,nodes, and user attributes. Clusters are k-anonymized with multiple graphproperties by a novel one-pass algorithm. After achieving the k-anonymityof clusters, optimization was performed to achieve all privacy models, suchas k-anonymity, t-closeness, and l-diversity. The proposed privacy frameworkachieves privacy of all three network components, i.e., link, node, and userattributes, with improved utility. The authors compare the proposed techniqueto underlying methods using OSN Yelp and Facebook datasets. The proposedapproach outperformed the underlying state of art methods for Degree ofAnonymization, computational efficiency, and information loss.

关键词： Enhanced clustering online social network k-anonymity t-closeness l-diversity privacy preservation

Bifurcation behaviors analysis of a plankton model with multiple delays

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International Journal of Biomathematics 2016年第6期9卷 113-137页

作者： Anuj Kumar sharma amit sharma Kulbhushan Agnihotri Department of Mathematics LRDA V College Jagraon Punjab India DA V Institute of Engineering and Technology Jalandhar Punjab 144001 India Applied Science Department SBSSTC Ferozpur Punjab India

A mathematical model describing the dynamics of toxin producing phytoplankton- zooplankton interaction with instantaneous nutrient recycling is proposed. We have explored the dynamics of plankton ecosystem with multiple delays; one due to gestation period in the growth of phytoplankton population and second due to the delay in toxin liberated by TPP. It is established that a sequence of Hopf bifurcations occurs at the interior equilibrium as the delay increases through its critical value. The direction of the Hopf bifurcation and the stability of the bifurcating periodic solutions are determined using the theory of normal form and center manifold. Meanwhile, effect of toxin on the stability of delayed plankton system is also established numerically. Finally, numerical simulations are carried out to support and supplement the analytical findings.

关键词： Plankton multiple delays toxin Hopf bifurcation normal form theory centermanifold theorem.

On the non-Gaussian errors in high-z supernovae type Ia data

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Research in Astronomy and Astrophysics 2016年第11期16卷 53-56页

作者： Meghendra Singh Ashwini Pandey amit sharma Shashikant Gupta Satendra sharma Dr. A.EJ. Abdul Kalam Technical University Uttar Pradesh Lucknow 226021 India GD Goenka University Gurgaon Haryana 122103 India Yobe State University Damaturu Yobe State Nigeria

The nature of random errors in any data set is Gaussian, which is a well established fact according to the Central Limit Theorem. Supernovae type Ia data have played a crucial role in major discoveries in cosmology. Unlike in laboratory experiments, astronomical measurements cannot be performed in controlled situations. Thus, errors in astronomical data can be more severe in terms of systematics and non-Gaussianity compared to those of laboratory experiments. In this paper, we use the Kolmogorov-Smiruov statistic to test non-Gaussianity in high-z supernovae data. We apply this statistic to four data sets, i.e., Gold data （2004）, Gold data （2007）, the Union2 catalog and the Union2.1 data set for our analysis. Our results show that in all four data sets the errors are consistent with a Gaussian distribution.

关键词： cosmology - data analysis - statistics - probability

Review of the potential of mesenchymal stem cells for the treatment of infectious diseases

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World Journal of Stem Cells 2021年第6期13卷 568-593页

作者： amit sharma Anuja Chakraborty Bithiah Grace Jaganathan Stem Cell and Cancer Biology Group Department of Biosciences and BioengineeringIndian Institute of Technology GuwahatiGuwahati 781039India

The therapeutic value of mesenchymal stem cells (MSCs) for the treatment of infectious diseases and the repair of disease-induced tissue damage has been explored extensively. MSCs inhibit inflammation, reduce pathogen load and tissue damage encountered during infectious diseases through the secretion of antimicrobial factors for pathogen clearance and they phagocytose certain bacteria themselves. MSCs dampen tissue damage during infection by downregulating thelevels of pro-inflammatory cytokines, and inhibiting the excessive recruitment ofneutrophils and proliferation of T cells at the site of injury. MSCs aid in theregeneration of damaged tissue by differentiating into the damaged cell types orby releasing paracrine factors that direct tissue regeneration, differentiation, andwound healing. In this review, we discuss in detail the various mechanisms bywhich MSCs help combat pathogens, tissue damage associated with infectiousdiseases, and challenges in utilizing MSCs for therapy.

关键词： Infectious diseases Mesenchymal stem cells Antimicrobial effect Immunomodulation Tissue repair COVID-19

Spectroscopic Analysis of Organophosphorus Pesticides Using Colorimetric Reactions

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光谱学与光谱分析 2016年第9期36卷 3033-3038页

作者： amit Kumar sharma Department of Physics College of EngineeringTeerthanker Mahaveer University

The UV-Vis and infrared(IR)absorption spectra of organophosphorus(OP)pesticides have been studied.A correlation in spectra was developed to optimize the OP pesticides in the *** spectroscopic(UV-Vis and IR)spectrum of OP pesticides like methyl parathion,malathion and parathion has been interpreted in detail.A complete calculation of the normal frequencies and absolute intensities of UV-Vis and IR absorption bands are interpreted with the help of corresponding experimental *** the colorimetric reactions,the bands appear at 2 077,1 637,1 455,1 015,655cm^(-1) for malathion;2 081,1 639,1 316,1 015,794,683cm^(-1) for parathion;2 078,1 632,1 032,794cm^(-1) for methyl parathion were used for quantitative or qualitative *** these IR spectra were acquired by averaging 100 scans at a resolution of 4cm^(-1).It is determined experimentally in the region 200~450nm for UV-Vis absorption bands and in the region 400~4 000cm^(-1) for IR absorption *** is concluded that the mainly optically active groups(P—OH, C=O,P=O, C—O—C,P—O—C, P=S, —OH)present in pesticides which are responsible in change in significant data for quantitative and qualitative *** various optical properties like wavelength,band energy,wave number,and frequency,also are calculated.

关键词： OP pesticides Optical properties UV-Vis spectrophotometer FTIR spectroscopy

Tempering of exhausted T cells to comprehend their adaptive response for suitable clinical translation

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Cellular & Molecular Immunology 2023年第12期20卷 1401-1402页

作者： amit sharma Ingo G.H.Schmidt-Wolf Department of Integrated Oncology Center for Integrated Oncology(CIO)BonnUniversity Hospital BonnBonnGermany

Although cancer immunotherapy has taken center stage,exhaustion of T cells is undeniably one of the major problems preventing it from being fully successful[1].Certainly,reversal of T-cell exhaustion or dysfunction is of great importance for developing new strategies and restoring immune ***,counterarguments about the adverse effect of reversing T-cell exhaustion(leading to overactivation of T cells and cytotoxicity)and even their irreversible properties have been quite common in scientific *** more to be discovered about the reasons for T-cell failure,a better understanding of the molecular factors/determinants[2,3]that shape/remodel“heterogeneous”dysfunctional T cells in cancer makes clear ***,two recent publications in Nature immunology have described the intriguing perspective of T-cell exhaustion[4,5].Of interest,Vignali et *** on the hypoxia-driven CD39-dependent suppressor function of exhausted T cells,whereas Saadey et *** restoring the epigenetic balance of TGFβ1/BMP signaling in exhausted T cells to unlock responsiveness to immune checkpoint blockade therapy.

关键词： irreversible exhaustion publications

Lighting up plants with near-infrared fluorescence probes

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Science China Chemistry 2024年第3期67卷 774-787页

作者： Yida Pang Mengjiao Lu Hyeonji Rha Wenchao Yang amit sharma Yao Sun Jong Seung Kim National Key Laboratory of Green Pesticide Key Laboratory of Green Pesticide and Agricultural BioengineeringMinistry of EducationCenter for R&D of Fine Chemicals of Guizhou UniversityGuiyang 550025China National Key Laboratory of Green Pesticide College of ChemistryCentral China Normal UniversityWuhan 430079China Department of Chemistry Korea UniversitySeoul 02841Korea CSIR-Central Scientific Instruments Organisation Sector-30CChandigarh160030India TheranoChem Incorporation Seongbuk-guSeoul02856Korea

Fluorescence imaging is a non-invasive and highly sensitive bioimaging technique that has shown remarkable strides in plant science. It enables real-time monitoring and analysis of biological and pathological processes in plants by labeling specific molecular or cellular structures with fluorescent probes. However, tissue scattering and phytochrome interference have been obstacles for conventional fluorescence imaging of plants in the ultraviolet and visible spectrum, resulting in unsatisfactory imaging quality. Fortunately, advances in near-infrared(NIR) fluorescence imaging technology(650-900 nm) offer superior spatial-temporal resolution and reduced tissue scattering, which is sure to improve plant imaging quality. In this review, we summarize recent progress in the development of NIR fluorescence imaging probes and their applications for in vivo plant imaging and the identification of plant-related biomolecules. We hope this review provides a new perspective for plant science research and highlights NIR fluorescence imaging as a powerful tool for analyzing plant physiology, adaptive mechanisms, and coping with environmental stress in the near future.

关键词： NIR fluorescent probe plant imaging biologic application